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Mid-level GenAI role in metro with highly sought skills drives high candidate density.
Specialized GenAI and production ML operations skills make cross-industry fit highly sensitive.
Explicit 6–9 years requirement plus mandatory GenAI, production ML, and operational expertise creates high strictness.
Lead enhancement, maintenance, and optimization of AI and GenAI production applications, driving stability and scalability.
Manage complex operational initiatives including customer onboarding, release management, and compliance activities for AI solutions.
Collaborate with stakeholders to prioritize and deliver solutions while mentoring junior team members and improving operational efficiency.
6-9 years of relevant work experience in AI/ML and AI operations.
Advanced proficiency in Python and experience with production AI/ML solution deployment and support.
Strong knowledge of Generative AI technologies such as LLMs, LangChain, Agentic AI, RAG architectures.
Not explicitly mentioned in the JD: Educational qualifications and explicit notice period requirements.
Experienced in managing full lifecycle and operational aspects of AI/GenAI applications in production environments.
Skilled in stakeholder management and able to lead cross-functional initiatives involving product, engineering, and business teams.
Strong technical leadership capability with experience mentoring junior members and driving strategic AI operations improvements.